NPL_2016-2019_CIESIE_v01_M
Complementarities of Irrigation and Extension Services Impact Evaluation 2016-2019
Baseline and Endline
Name | Country code |
---|---|
Nepal | NPL |
Agricultural Survey [ag/oth]
Agriculture is the primary sector of employment in Nepal. 26.98% percent of Nepal’s GDP comes from agriculture, which employs 81% of the active labor force. (FAO, 2020) However, Nepal’s agricultural sector is characterized by subsistence farming, low crop yields and low cropping intensity arising from lack of properly managed irrigation facilities and farmer’s poor knowledge of improved cultivation practices. (World Bank, 2011).
To address these issues the government of Nepal has been implementing the Modernization of Rani Jamara Kulariya Irrigation Scheme Project since 2012, with financing and technical assistance from the World Bank.
The baseline survey took place in December 2016, and the endline survey took place in December 2019.
Sample survey data [ssd]
Household, plot
Version 01: Encoded location names below VDC level. Reupload both surveys as a single entry to the public repository. Raw data without reshaping or cleaning.
2022-07-21
The topics covered in Nepal's Complementarities of Irrigation and Extension Services Impact Evaluation 2016 include the following:
South Eastern part of Kailali district, where the project is modernizing irrigation facilities.
Name | Affiliation |
---|---|
Paul Christian | World Bank / DIME |
Name | Role |
---|---|
The World Bank | Funded the survey |
The sampling frame for the survey were 150 farmer groups that expressed interest in the extension training from the project. This made up 2000 households, the remaining 500 were selected from Village Development Committees and Wards that lied outside of the command area of RJK to act as the external control group. The 500 households were selected from the census of the command area conducted by the project at the beginning of phase 1 of RJK project.
At baseline we gave the survey team all 40 early and 40 late treatment groups to be surveyed. The team was instructed to survey all households that were members of the selected farmer group, households with multiple people enrolled in the same farmer group were only interviewed once. Then enumerators were provided with the list of all control groups and 500 households outside of the command area, regardless of farmer group status. It was observed that control farmer groups were largely inactive, and some could not be reached at baseline.
At endline the survey team was able to reach 90% of baseline respondents, however the control group outside of the RJK command area experienced higher attrition than other groups. For the regressions analysis we will combine the late treatment and control inside RJK groups, because they were both offered the training after the baseline survey took place. The “Other” groups in the above table are households that lived in same wards as control group households, but were not included in the original randomization, and thus they will be excluded from the analysis. The control outside RJK group will be the main counter-factual groups, because they received neither the irrigation improvement nor extension training from RJK project.
The questionnaire is structured. It is available in English and downloadable from the Documentation tab.
Start | End | Cycle |
---|---|---|
2016-12-15 | 2017-02-01 | Baseline |
2019-12-15 | 2020-02-01 | Endline |
Name |
---|
Fullbright Consultancy |
Geocom |
Baseline survey conducted using paper questionnaires, endline survey was conducted using SurveySolutions CAPI platform.
Use of the dataset must be acknowledged using a citation which would include:
Example
The World Bank Group. Nepal - Complementarities of Irrigation and Extension Services Impact Evaluation (CIESIE) 2016-2019, Baseline and Endline. Ref. NPL_2016-2019_CIESIE_v01_M. Dataset downloaded from [url] on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | |
---|---|---|
Paul Christian | World Bank / DIME | pchristian@worldbank.org |
DDI_NPL_2016-2019_CIESIE_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Data Group | The World Bank | Documentation of the Study |
2022-07-27
Version 01 (July 2022)
2022-07-27
This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.